Bemærk: Kan ikke leveres før jul.
Forventes på lager: 07-10-2019
This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges posed by this problem.
| Forlag | Taylor & Francis Ltd |
| Forfattere | Chengliang Yang, Chris (University of Kentucky Delcher, Elizabeth (University of Florida Shenkman, Sanjay (University of Florida Ranka |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 07-10-2019 |
| Første udgivelsesår | 2019 |
| Serie | Chapman & Hall/CRC Big Data Series |
| Illustrationer | 25 Halftones, black and white |
| Originalsprog | United Kingdom |
| Sideantal | 118 |
| Indbinding | Hardback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 118 pages, 25 Halftones, black and white |
| Mål | 184 x 261 x 13 |
| ISBN-13 / EAN-13 | 9780367342906 |